Why I'm Writing This Now
I've been using both Claude Code and GitHub Copilot daily for the past three months on production projects — one involving MLflow model serving, the other building an auto-posting system for this blog. The hype around "AI coding assistants" is exhausting, but the practical differences between these two tools are real and worth documenting.
Most comparisons focus on abstract qualities like "intelligence" or "code quality." I don't care. What I care about: which one saves me time when I'm staring at a 500-line Python script that needs refactoring, or when I'm debugging a memory leak in a YOLO inference pipeline.
Here are the five features that actually changed how I work.
1. Context Window: Claude Code Reads Your Entire Codebase
GitHub Copilot operates at the file level. It sees your current file, maybe a few surrounding files if you're lucky, and uses that to generate suggestions. This works fine for autocomplete-style tasks — finishing a function, writing a docstring, suggesting the next line.
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